基于空间杜宾模型的山东省制造业时空分异研究
Spatial Pattern Change of Manufacturing Industry in Shandong Province Based on Spatial Durbin Model
查看参考文献31篇
文摘
|
利用2003~2014年山东省17个地级市制造业27个部门的面板数据,研究了山东省制造业的时空分异特征,并基于空间杜宾模型(SDM)探讨了主要的影响因素,结果发现:山东省制造业份额呈现出自东向西递减、先东部集聚后向中西部扩散的规律。以2007年为转折点,制造业呈现东部沿海转出、内陆转入的特点,鲁北地区成为份额增长最快的区域。由于空间溢出效应的存在,市场规模、交通基础设施、产业规模和人力资本水平均有助于提升本地区制造业份额。因此,应该从地区关联的角度重新审视制造业发展规律并制定相应政策措施。 |
其他语种文摘
|
Based on the panel data of 27 subsectors of manufacturing industry of 17 cities in Shandong Province from 2003 to 2014,using the share of the city's manufacturing output accounting for the province ' s total manufacturing output, the article analyzed the characteristics of the temporal and spatial pattern of the manufacturing industry and three sectors in Shandong Province, then investigated the main influencing factors based on the Spatial Durbin Model (SDM). The conclusions are as follows. Firstly, on the spatial distribution of manufacturing industry in Shandong Province during the past 12 years, it showed the decreasing trend from the east to the west, as well as the pattern of spatial clustering in eastern region toward to the mid and west region. As to the change of spatial distribution, since 2007 the total manufacturing industry showed the transfer out from the eastern costal region to the inland region, and the northern region in Shandong Province has become an important region of attracting industry. For the change of subsectors, most of the manufacturing subsectors, especially the textile, furniture manufacturing as the representative of the labor-intensive sectors, were accelerating the transfer from the eastern region to the inland. Secondly, there is obvious spatial autocorrelation for the distribution of manufacturing industry, showing that the distribution of manufacturing industry at the city level is impacted by the geographic location and adjacent relation. The expansion of the scale of local market and enterprises, the improvement of transportation infrastructure and human capital level contributed to increase the share of manufacturing industry in the region, while the rising labor cost was the constraint factor of the development of manufacturing industry in Shandong Province. Due to the spatial spillover, the improvement of transportation infrastructure could promote the manufacturing industry of the neighboring regions, but both the expansion of the scale of local market and enterprises showed inhibitory effects. And the human capital had no obvious effects. Lastly, the article put forward some suggestions of the development of manufacturing industry, such as improving the level of human capital in east region to promote the industry upgrading, and investing on the transportation infrastructure in the mid and west region, and establishing the regional cooperation mechanism of economic integration and so on. |
来源
|
地理科学
,2017,37(5):691-700 【核心库】
|
DOI
|
10.13249/j.cnki.sgs.2017.05.006
|
关键词
|
空间杜宾模型
;
制造业
;
空间自相关性
;
山东省
|
地址
|
山东财经大学经济学院, 山东, 济南, 250014
|
语种
|
中文 |
文献类型
|
研究性论文 |
ISSN
|
1000-0690 |
学科
|
社会科学总论 |
基金
|
国家自然科学基金项目
;
山东省软科学研究计划重点项目
|
文献收藏号
|
CSCD:6007346
|
参考文献 共
31
共2页
|
1.
Krugman P. Increasing Returns and Economic Geography.
Journal of Political Economy,1991,99(3):483-499
|
CSCD被引
474
次
|
|
|
|
2.
Holmes T. Geographic Concentration and Establishment scale.
Review of Economics and Statistics,2002,84:682-690
|
CSCD被引
9
次
|
|
|
|
3.
Marshall A.
Principles of Economics,1890
|
CSCD被引
76
次
|
|
|
|
4.
Norton R D. The Product Cycle and the Spatial Decentralization of American Manufacturing.
Regional Studies,1979(13):141-151
|
CSCD被引
4
次
|
|
|
|
5.
Devereux M. The Geographic Distribution of Production Activity in the UK.
Regional Science and Urban Economics,2004,34:533-564
|
CSCD被引
21
次
|
|
|
|
6.
Fujita M. Regional Growth in Postwar Japan.
Regional Science and Urban Economics,1997,27(6):643-670
|
CSCD被引
10
次
|
|
|
|
7.
Arauzo Carod J M. Industrial Location at the Intra-metropolitan Level: The Role of Agglomeration Economies.
Regional Studies,2009,43(4):545-558
|
CSCD被引
13
次
|
|
|
|
8.
罗胤晨. 1980~2011年中国制造业空间集聚格局及其演变趋势.
经济地理,2014,34(7):84-88
|
CSCD被引
1
次
|
|
|
|
9.
石敏俊. 中国制造业分布的地理变迁与驱动因素.
地理研究,2013,32(9):1708-1720
|
CSCD被引
29
次
|
|
|
|
10.
陈曦. 城镇化水平与制造业空间分布--基于中国省级面板数据的实证研究.
地理科学,2015,35(3):259-267
|
CSCD被引
12
次
|
|
|
|
11.
贺灿飞. 中国制造业省区分布及其影响因素.
地理研究,2008,27(3):623-635
|
CSCD被引
34
次
|
|
|
|
12.
李燕. 1998-2009年珠江三角洲制造业空间转移特征及其机制.
地理科学进展,2013,32(5):777-787
|
CSCD被引
20
次
|
|
|
|
13.
毛广雄. 江苏省劳动密集型产业集群化转移的空间路径及机理研究.
地理科学,2016,36(1):72-80
|
CSCD被引
7
次
|
|
|
|
14.
段小薇. 河南承接制造业转移的时空格局研究.
地理科学,2016,36(1):1-11
|
CSCD被引
1
次
|
|
|
|
15.
陈松林. 福建省综合交通可达性格局及其与制造业空间分布的关系分析.
地理科学,2012,32(7):807-815
|
CSCD被引
22
次
|
|
|
|
16.
王俊松. 长三角制造业空间格局演化及影响因素.
地理研究,2014,33(12):2312-1224
|
CSCD被引
21
次
|
|
|
|
17.
贺灿飞. 产业特性,区域特征与中国制造业省区集聚.
地理学报,2010,65(10):1218-1228
|
CSCD被引
46
次
|
|
|
|
18.
张光南. 基础设施、空间溢出与制造业成本效应.
经济学(季刊),2013,13(1):285-304
|
CSCD被引
3
次
|
|
|
|
19.
刘霄泉. 基于局部空间统计的产业集群空间分析——以北京市制造业集群为例.
地理科学,2012,32(5):530-535
|
CSCD被引
13
次
|
|
|
|
20.
Greene W. Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model.
Journal of Econometrics,2005,126:269-303
|
CSCD被引
12
次
|
|
|
|
|